Update app.py
Browse files
app.py
CHANGED
@@ -7,9 +7,10 @@ nlp = spacy.load('es_core_news_sm')
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text_generator = pipeline('text-generation', model='gpt2')
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pos_tags = ['ADJ', 'ADP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']
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# Store the sentence state globally
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sentence_state = {'sentence': '', 'tagged_words': []}
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# Generate a sentence and analyze it
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def generate_and_analyze():
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@@ -17,27 +18,31 @@ def generate_and_analyze():
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sentence = result['generated_text']
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doc = nlp(sentence)
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tagged_words = [(token.text, token.pos_) for token in doc]
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sentence_state['sentence'] = sentence
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sentence_state['tagged_words'] = tagged_words
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# The game logic
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def game_flow(start_game, *args):
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if start_game == 'Empezar':
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sentence, _ = generate_and_analyze()
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return sentence, '', ''
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else:
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correct_answer = [tag for _, tag in sentence_state['
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user_answer = list(args)
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if user_answer == correct_answer:
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return sentence_state['sentence'], ' '.join(sentence_state['
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else:
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iface = gr.Interface(fn=game_flow,
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inputs=[gr.inputs.Textbox(label='Escribe "Empezar" para
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[gr.inputs.Dropdown(choices=
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outputs=[gr.outputs.Textbox(label='Frase'),
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gr.outputs.Textbox(label='
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gr.outputs.Textbox(label='
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iface.launch()
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text_generator = pipeline('text-generation', model='gpt2')
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pos_tags = ['ADJ', 'ADP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']
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pos_tags_es = ['ADJ', 'PREP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'SUST', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERBO', 'X']
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# Store the sentence state globally
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sentence_state = {'sentence': '', 'tagged_words': [], 'tagged_words_es': []}
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# Generate a sentence and analyze it
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def generate_and_analyze():
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sentence = result['generated_text']
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doc = nlp(sentence)
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tagged_words = [(token.text, token.pos_) for token in doc]
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tagged_words_es = [(token.text, pos_tags_es[pos_tags.index(token.pos_)]) for token in doc]
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sentence_state['sentence'] = sentence
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sentence_state['tagged_words'] = tagged_words
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sentence_state['tagged_words_es'] = tagged_words_es
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return sentence, tagged_words, tagged_words_es
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# The game logic
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def game_flow(start_game, *args):
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if start_game == 'Empezar':
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sentence, _, _ = generate_and_analyze()
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return sentence, '', '', ''
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else:
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correct_answer = [tag for _, tag in sentence_state['tagged_words_es']]
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user_answer = list(args)
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if user_answer == correct_answer:
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return sentence_state['sentence'], ' '.join(sentence_state['tagged_words_es']), '隆Correcto!', ''
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else:
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correction = ' '.join([f'{word} es {tag}' for word, tag in sentence_state['tagged_words_es']])
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return sentence_state['sentence'], ' '.join(sentence_state['tagged_words_es']), 'Incorrecto.', 'La respuesta correcta es: ' + correction
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iface = gr.Interface(fn=game_flow,
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inputs=[gr.inputs.Textbox(label='Escribe "Empezar" para iniciar el juego')] +
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[gr.inputs.Dropdown(choices=pos_tags_es, label=f'Funci贸n de la palabra {i+1}') for i in range(5)],
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outputs=[gr.outputs.Textbox(label='Frase generada'),
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gr.outputs.Textbox(label='Funciones de las palabras'),
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gr.outputs.Textbox(label='Evaluaci贸n'),
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gr.outputs.Textbox(label='Correcci贸n')])
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iface.launch()
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